# Collect new Anthropic jobs for your AI newsletter

**Use case:** 

For AI-jobs newsletter editors: collect Anthropic postings for editorial review. The first run creates a baseline; later runs with the same state store return unseen job IDs. Copy the task, choose your own store name, and schedule it daily. Export CSV or use the dataset API. No email delivery, edits, or removal alerts. $0.001 per output job; see the Actor README for limits.

## Input

```json
{
  "boards": [
    {
      "provider": "greenhouse",
      "boardName": "anthropic",
      "companyName": "Anthropic"
    }
  ],
  "careerUrls": [],
  "searchTerms": [],
  "locations": [],
  "remoteOnly": false,
  "includeDescription": false,
  "includeCompensation": false,
  "publishedAfter": "",
  "maxJobsPerBoard": 5000,
  "concurrency": 1,
  "timeoutSeconds": 30,
  "newOnly": true,
  "stateStoreName": "my-ai-newsletter-anthropic-v1"
}
```

## Output

```json
{
  "provider": {
    "label": "Provider",
    "format": "string"
  },
  "companyName": {
    "label": "Company name",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "department": {
    "label": "Department",
    "format": "string"
  },
  "team": {
    "label": "Team",
    "format": "string"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "string"
  },
  "workplaceType": {
    "label": "Workplace type",
    "format": "string"
  },
  "remote": {
    "label": "Remote",
    "format": "boolean"
  },
  "jobUrl": {
    "label": "Job URL",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published",
    "format": "string"
  },
  "updatedAt": {
    "label": "Updated",
    "format": "string"
  },
  "fingerprint": {
    "label": "Fingerprint",
    "format": "string"
  },
  "retrievedAt": {
    "label": "Retrieved",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Greenhouse, Lever & Ashby Jobs Scraper API](https://apify.com/rtworule/public-ats-job-feed-normalizer.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rtworule/public-ats-job-feed-normalizer.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rtworule/public-ats-job-feed-normalizer.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).